444 related articles for article (PubMed ID: 28673244)
1. A comprehensive genomic pan-cancer classification using The Cancer Genome Atlas gene expression data.
Li Y; Kang K; Krahn JM; Croutwater N; Lee K; Umbach DM; Li L
BMC Genomics; 2017 Jul; 18(1):508. PubMed ID: 28673244
[TBL] [Abstract][Full Text] [Related]
2. Large-scale RNA-Seq Transcriptome Analysis of 4043 Cancers and 548 Normal Tissue Controls across 12 TCGA Cancer Types.
Peng L; Bian XW; Li DK; Xu C; Wang GM; Xia QY; Xiong Q
Sci Rep; 2015 Aug; 5():13413. PubMed ID: 26292924
[TBL] [Abstract][Full Text] [Related]
3. Integrative genomic approaches to dissect clinically-significant relationships between the VDR cistrome and gene expression in primary colon cancer.
Long MD; Campbell MJ
J Steroid Biochem Mol Biol; 2017 Oct; 173():130-138. PubMed ID: 28027912
[TBL] [Abstract][Full Text] [Related]
4. BioXpress: an integrated RNA-seq-derived gene expression database for pan-cancer analysis.
Wan Q; Dingerdissen H; Fan Y; Gulzar N; Pan Y; Wu TJ; Yan C; Zhang H; Mazumder R
Database (Oxford); 2015; 2015():. PubMed ID: 25819073
[TBL] [Abstract][Full Text] [Related]
5. UALCAN: A Portal for Facilitating Tumor Subgroup Gene Expression and Survival Analyses.
Chandrashekar DS; Bashel B; Balasubramanya SAH; Creighton CJ; Ponce-Rodriguez I; Chakravarthi BVSK; Varambally S
Neoplasia; 2017 Aug; 19(8):649-658. PubMed ID: 28732212
[TBL] [Abstract][Full Text] [Related]
6. Tumor classification and biomarker discovery based on the 5'isomiR expression level.
Wang S; Zheng Z; Chen P; Wu M
BMC Cancer; 2019 Feb; 19(1):127. PubMed ID: 30732570
[TBL] [Abstract][Full Text] [Related]
7. Identification of Gene Expression Pattern Related to Breast Cancer Survival Using Integrated TCGA Datasets and Genomic Tools.
Huang Z; Duan H; Li H
Biomed Res Int; 2015; 2015():878546. PubMed ID: 26576432
[TBL] [Abstract][Full Text] [Related]
8. Molecular Signatures for Tumor Classification: An Analysis of The Cancer Genome Atlas Data.
Mamatjan Y; Agnihotri S; Goldenberg A; Tonge P; Mansouri S; Zadeh G; Aldape K
J Mol Diagn; 2017 Nov; 19(6):881-891. PubMed ID: 28867603
[TBL] [Abstract][Full Text] [Related]
9. Association between expression of random gene sets and survival is evident in multiple cancer types and may be explained by sub-classification.
Shimoni Y
PLoS Comput Biol; 2018 Feb; 14(2):e1006026. PubMed ID: 29470520
[TBL] [Abstract][Full Text] [Related]
10. Transcriptome Analysis of Recurrently Deregulated Genes across Multiple Cancers Identifies New Pan-Cancer Biomarkers.
Kaczkowski B; Tanaka Y; Kawaji H; Sandelin A; Andersson R; Itoh M; Lassmann T; Hayashizaki Y; Carninci P; Forrest AR;
Cancer Res; 2016 Jan; 76(2):216-26. PubMed ID: 26552699
[TBL] [Abstract][Full Text] [Related]
11. Leveraging global gene expression patterns to predict expression of unmeasured genes.
Rudd J; Zelaya RA; Demidenko E; Goode EL; Greene CS; Doherty JA
BMC Genomics; 2015 Dec; 16():1065. PubMed ID: 26666289
[TBL] [Abstract][Full Text] [Related]
12. Glycosyltransferase Gene Expression Profiles Classify Cancer Types and Propose Prognostic Subtypes.
Ashkani J; Naidoo KJ
Sci Rep; 2016 May; 6():26451. PubMed ID: 27198045
[TBL] [Abstract][Full Text] [Related]
13. Knowledge about the presence or absence of miRNA isoforms (isomiRs) can successfully discriminate amongst 32 TCGA cancer types.
Telonis AG; Magee R; Loher P; Chervoneva I; Londin E; Rigoutsos I
Nucleic Acids Res; 2017 Apr; 45(6):2973-2985. PubMed ID: 28206648
[TBL] [Abstract][Full Text] [Related]
14. Transcriptional Profiles from Paired Normal Samples Offer Complementary Information on Cancer Patient Survival--Evidence from TCGA Pan-Cancer Data.
Huang X; Stern DF; Zhao H
Sci Rep; 2016 Feb; 6():20567. PubMed ID: 26837275
[TBL] [Abstract][Full Text] [Related]
15. A probabilistic approach for automated discovery of perturbed genes using expression data from microarray or RNA-Seq.
Sundaramurthy G; Eghbalnia HR
Comput Biol Med; 2015 Dec; 67():29-40. PubMed ID: 26492320
[TBL] [Abstract][Full Text] [Related]
16. Pan-Cancer Mutational and Transcriptional Analysis of the Integrator Complex.
Federico A; Rienzo M; Abbondanza C; Costa V; Ciccodicola A; Casamassimi A
Int J Mol Sci; 2017 Apr; 18(5):. PubMed ID: 28468258
[TBL] [Abstract][Full Text] [Related]
17. Mixture classification model based on clinical markers for breast cancer prognosis.
Zeng T; Liu J
Artif Intell Med; 2010; 48(2-3):129-37. PubMed ID: 20005686
[TBL] [Abstract][Full Text] [Related]
18. Circular RNAs and their associations with breast cancer subtypes.
Nair AA; Niu N; Tang X; Thompson KJ; Wang L; Kocher JP; Subramanian S; Kalari KR
Oncotarget; 2016 Dec; 7(49):80967-80979. PubMed ID: 27829232
[TBL] [Abstract][Full Text] [Related]
19. Identification of a TSPY co-expression network associated with DNA hypomethylation and tumor gene expression in somatic cancers.
Kido T; Lau YC
J Genet Genomics; 2016 Oct; 43(10):577-585. PubMed ID: 27771326
[TBL] [Abstract][Full Text] [Related]
20. Dysregulated transcription across diverse cancer types reveals the importance of RNA-binding protein in carcinogenesis.
Wang J; Liu Q; Shyr Y
BMC Genomics; 2015; 16 Suppl 7(Suppl 7):S5. PubMed ID: 26100984
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
